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Bits and Bugs : A Scientific and Historical Review of Software Failures in Computational Science

Spectral Methods in MATLAB

ScaLAPACK Users' Guide

Introduction to High Performance Scientific Computing

PETSc for Partial Differential Equations : Numerical Solutions in C and Python

Parallel MATLAB for Multicore and Multinode Computers

ARPACK Users' Guide : Solution of Large-Scale Eigenvalue Problems with Implicitly Restarted Arnoldi Methods

The Science of Computer Benchmarking

Applications on Advance Architecture Computers

PLTMG: A Software Package for Solving Elliptic Partial Differential Equations : Users' Guide 8.0

Numerical Linear Algebra for High-Performance Computers

Lapack Users' Guide

Templates for the Solution of Algebraic Eigenvalue Problems : A Practical Guide

Performance Optimization of Numerically Intensive Codes

Lapack 95 Users' Guide

Simulating, Analyzing, and Animating Dynamical Systems : A Guide to Xppaut for Researchers and Students

The Lanczos Method : Evolution and Application

A Tutorial on Elliptic PDE Solvers and Their Parallelization

Understanding Search Engines : Mathematical Modeling and Text Retrieval

Accuracy and Reliability in Scientific Computing

The Lanczos and Conjugate Gradient Algorithms : From Theory to Finite Precision Computations

Parallel Processing for Scientific Computing

Graph Algorithms in the Language of Linear Algebra

Implicit Filtering

The Art of Differentiating Computer Programs

Numerically Solving Polynomial Systems with Bertini

Orthogonal Polynomials in MATLAB : Exercises and Solutions

Automatic Differentiation in Matlab Using Admat with Applications

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